PROVIDING AN EMPLOYEE A PERK TO COLLECT DATA OF EMPLOYEE USAGE OF CORPORATE RESOURCES

• US 20170270457A1
• Filed: 03/17/2016
• Published: 09/21/2017
• Est. Priority Date: 03/17/2016
• Status: Abandoned Application

• Current Assignee: Quest Software, Inc.
• Original Assignee: Dell Software, Inc. (Dell Technologies Inc.)
• Inventors: Johnstone, Curtis, Brisebois, Michel Albert
• Application Number:
  US15/073,154
• Publication Number:
  US 20170270457A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task

Abstract

Systems and techniques are described to display usage data that is collected regarding the employee'"'"'s use of corporate computing resources and obtain the employee'"'"'s permission to collect the usage data. A data schema associated with the usage data may be determined. Data elements included in the usage data may be determined based at least in part on the data schema. A permission model associated with the usage data may be determined. Based at least in part on the permission model, one or more additional employees that have access to the usage data may be determined. The employee may use a user interface to display the type of usage data that is being collected and the one or more additional employees that have access to the usage data. The employee may use the user interface to provide permission to collect the type of usage data.

Claims

1. A computer-implemented method, comprising:

determining usage data that is being collected in a computing system, the usage data generated based at least in part on an employee using at least one resource of one or more resources of the computing system;

displaying via a user interface, a plurality of categories associated with the usage data that is being collected;

displaying, via the user interface, for each category of the plurality of categories, one or more additional employees that have access to the usage data;

receiving a first user selection to collect at least a first category of the plurality of categories of usage data; and

providing the employee with access to a first corporate resource based at least in part on receiving the first user selection.

2. The computer-implemented method of claim 1, further comprising:

instructing a first component of the computing system to collect the first category of usage data associated with the employee.

3. The computer-implemented method of claim 1, further comprising:

receiving a second user selection denying permission to collect at least a second category of usage data associated with the employee; and

instructing a component of the computing system to stop collecting the second category of usage data associated with the employee.

4. The computer-implemented method of claim 1, further comprising:

categorizing, using a first filter, the data elements in the usage data into one of operational data, activity data, identity data, or content data;

wherein the operational data includes at least one of a server hop, a timestamp, a storage quota, or a quality of service metric;

wherein the activity data includes at least one of a use of a system resource or use of a software feature;

wherein the identity data includes at least one of a user identity associated with a directory service, a participant identity of a participant in a communication, or domain identity data associated with a domain; and

wherein the content data includes email content, email attachments, an audio conference recording, or a video conference recording.

5. The computer-implemented method of claim 1, further comprising:

mapping, using a permission mapping filter, based at least in part on the data schema and the permission model, the usage data to identify the one or more additional employees that have access to the usage data.

6. The computer-implemented method of claim 1, wherein the plurality of categories including system usage data, activity data, identity data, content data, raw data that includes personally identifiable data, aggregated data that does not include personally identifiable data, anonymized data that does not include personally identifiable data, a combination of anonymized and aggregated data used to determine personally identifiable data, user access information, and third party application access.

7. The computer-implemented method of claim 1, wherein the usage data that is being collected includes one of email usage data, conferencing usage data, software application usage data, or communications usage data.

8. One or more non-transitory computer-readable media storing instructions that are executable by one or more processors to perform operations comprising:

determining usage data that is being collected in a computing system, the usage data generated based at least in part on an employee using at least one resource of one or more resources of the computing system;

displaying via a user interface, a plurality of categories associated with the usage data that is being collected;

displaying, via the user interface, for each category of the plurality of categories, one or more additional employees that have access to the usage data;

receiving a first user selection to collect at least a first category of the plurality of categories of usage data; and

providing the employee with access to a first corporate resource based at least in part on receiving the first user selection.

9. The one or more non-transitory computer-readable media of claim 8, the operations further comprising:

instructing a first component of the computing system to collect the first category of usage data associated with the employee.

10. The one or more non-transitory computer-readable media of claim 8, the operations further comprising:

receiving a second user selection denying permission to collect at least a second category of usage data associated with the employee; and

instructing a component of the computing system to stop collecting the second category of usage data associated with the employee.

11. The one or more non-transitory computer-readable media of claim 8, the operations further comprising:

categorizing, using a first filter, the data elements in the usage data into one of operational data, activity data, identity data, or content data;

wherein the operational data includes at least one of a server hop a timestamp, a storage quota, or a quality of service metric;

wherein the activity data includes at least one of a use of a system resource or use of a software feature;

wherein the identity data includes at least one of a user identity associated with a directory service, a participant identity of a participant in a communication, or domain identity data associated with a domain; and

wherein the content data includes email content, email attachments, an audio conference recording, or a video conference recording.

12. The one or more non-transitory computer-readable media of claim 8, the operations further comprising:

mapping, using a permission mapping filter, based at least in part on the data schema and the permission model, the usage data to identify the one or more additional employees that have access to the usage data.

13. The one or more non-transitory computer-readable media of claim 8, wherein the plurality of categories including system usage data, activity data, identity data, content data, raw data that includes personally identifiable data, aggregated data that does not include personally identifiable data, anonymized data that does not include personally identifiable data, a combination of anonymized and aggregated data used to determine personally identifiable data, user access information, and third party application access.

14. A server comprising:

one or more processors; and

one or more non-transitory computer-readable media storing instructions that are executable by the one or more processors to;

determining usage data that is being collected in a computing system, the usage data generated based at least in part on an employee using at least one resource of one or more resources of the computing system;

displaying via a user interface, a plurality of categories associated with the usage data that is being collected;

displaying, via the user interface, for each category of the plurality of categories, one or more additional employees that have access to the usage data;

receiving a first user selection to collect at least a first category of the plurality of categories of usage data; and

providing the employee with access to a first corporate resource based at least in part on receiving the first user selection.

15. The server of claim 14, the operations further comprising:

instructing a first component of the computing system to collect the first category of usage data associated with the employee.

16. The server of claim 14, the operations further comprising:

receiving a second user selection denying permission to collect at least a second category of usage data associated with the employee; and

instructing a component of the computing system to stop collecting the second category of usage data associated with the employee.

17. The server of claim 14, the operations further comprising:

categorizing, using a first filter, the data elements in the usage data into one of operational data, activity data, identity data, or content data;

wherein the operational data includes at least one of a server hop a timestamp, a storage quota, or a quality of service metric;

wherein the activity data includes at least one of a use of a system resource or use of a software feature;

wherein the identity data includes at least one of a user identity associated with a directory service, a participant identity of a participant in a communication, or domain identity data associated with a domain; and

wherein the content data includes email content, email attachments, an audio conference recording, or a video conference recording.

18. The server of claim 14, the operations further comprising:

mapping, using a permission mapping filter, based at least in part on the data schema and the permission model, the usage data to identify the one or more additional employees that have access to the usage data.

19. The server of claim 14, wherein the plurality of categories including system usage data, activity data, identity data, content data, raw data that includes personally identifiable data, aggregated data that does not include personally identifiable data, anonymized data that does not include personally identifiable data, a combination of anonymized and aggregated data used to determine personally identifiable data, user access information, and third party application access.

20. The server of claim 14, wherein the usage data that is being collected in the computing system includes one of email usage data, conferencing usage data, software application usage data, or communications usage data.